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nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what brand has respiratory as its therapeutic area?", "which brand has cardiovascular as its therapeuctic area?", "which brand has digestive as its therapeutic area?" ]
0
opiren
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
which brand has digestive as its therapeutic area?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Opiren" ]
which brand has digestive as its therapeutic area? || which brand has cardiovascular as its therapeuctic area? | what brand has respiratory as its therapeutic area?
nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all of the brands?" ]
1
ebastel and others, prevencor, esertia, plusvent, almogran and others, parapres, airtal and others, opiren, dobupal, tesavel & efficib, solaraze, almax and others, balneum and others, pantopam, decoderm tri and others
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
what are all of the brands?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Ebastel and others", "Prevencor", "Esertia", "Plusvent", "Almogran and others", "Parapres", "Airtal and others", "Opiren", "Dobupal", "Tesavel & Efficib", "Solaraze", "Almax and others", "Balneum and others", "Pantopam", "Decoderm Tri and others" ]
what are all of the brands? ||
nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are all of the brands?", "what about their therapeutic areas?" ]
1
respiratory, cardiovascular, central nervous system, respiratory, central nervous system, cardiovascular, osteomuscular, digestive, central nervous system, gastrointestinal, dermatology, gastrointestinal, dermatology, gastrointestinal, dermatology
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
what about their therapeutic areas?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Respiratory", "Cardiovascular", "Central nervous system", "Respiratory", "Central nervous system", "Cardiovascular", "Osteomuscular", "Digestive", "Central nervous system", "Gastrointestinal", "Dermatology", "Gastrointestinal", "Dermatology", "Gastrointestinal", "Dermatology" ]
what about their therapeutic areas? || what are all of the brands?
nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
2
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "what are all of the brands?", "what about their therapeutic areas?", "and of those brands, which is for the digestive area?" ]
1
opiren
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
and of those brands, which is for the digestive area?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Opiren" ]
and of those brands, which is for the digestive area? || what about their therapeutic areas? | what are all of the brands?
nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 4, 5, 6, 7, 8, 11, 12, 13, 14 ] }
[ "which of these brands only contain one active ingredient?" ]
2
ebastel and others, prevencor, esertia, almogran and others, parapres, airtal and others, opiren, dobupal, almax and others, balneum and others, pantopam, decoderm tri and others
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
which of these brands only contain one active ingredient?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Ebastel and others", "Prevencor", "Esertia", "Almogran and others", "Parapres", "Airtal and others", "Opiren", "Dobupal", "Almax and others", "Balneum and others", "Pantopam", "Decoderm Tri and others" ]
which of these brands only contain one active ingredient? ||
nt-5851
col : unnamed: 0 | brand | active ingredient | therapeutic area | pathology row 1 : 1 | ebastel and others | ebastine* | respiratory | allergy row 2 : 2 | prevencor | atorvastatin | cardiovascular | cholesterol row 3 : 3 | esertia | escitalopram | central nervous system | depression row 4 : 4 | plusvent | salmeterol+fluticasone | respiratory | asthma & copd row 5 : 5 | almogran and others | almotriptan* | central nervous system | migraine row 6 : 6 | parapres | candesartan cilexetil | cardiovascular | hypertension row 7 : 7 | airtal and others | aceclofenac* | osteomuscular | pain row 8 : 8 | opiren | lansoprazole | digestive | ulcer row 9 : 9 | dobupal | venlafaxine | central nervous system | depression row 10 : 10 | tesavel & efficib | sitagliptin & sitagliptin + metform | gastrointestinal | diabetes row 11 : 11 | solaraze | diclofenac solium + hyaluronic | dermatology | actinic keratoses row 12 : 12 | almax and others | almagate* | gastrointestinal | antacid row 13 : 13 | balneum and others | soya oil | dermatology | atopic dermatitis row 14 : 14 | pantopam | pantoprazole | gastrointestinal | gastroesophageal reflux row 15 : 15 | decoderm tri and others | fluprednidene | dermatology | mycotic dermatitis
table_csv/204_610.csv
1
{ "column_index": [ 1 ], "row_index": [ 7 ] }
[ "which of these brands only contain one active ingredient?", "of these brands, which one is used to treat a digestive condition?" ]
2
opiren
[ "Unnamed: 0", "Brand", "Active ingredient", "Therapeutic area", "Pathology" ]
of these brands, which one is used to treat a digestive condition?
[ [ "1", "Ebastel and others", "Ebastine*", "Respiratory", "Allergy" ], [ "2", "Prevencor", "Atorvastatin", "Cardiovascular", "Cholesterol" ], [ "3", "Esertia", "Escitalopram", "Central nervous system", "Depression" ], [ "4", "Plusvent", "Salmeterol+fluticasone", "Respiratory", "Asthma & COPD" ], [ "5", "Almogran and others", "Almotriptan*", "Central nervous system", "Migraine" ], [ "6", "Parapres", "Candesartan cilexetil", "Cardiovascular", "Hypertension" ], [ "7", "Airtal and others", "Aceclofenac*", "Osteomuscular", "Pain" ], [ "8", "Opiren", "Lansoprazole", "Digestive", "Ulcer" ], [ "9", "Dobupal", "Venlafaxine", "Central nervous system", "Depression" ], [ "10", "Tesavel & Efficib", "Sitagliptin & sitagliptin + metform", "Gastrointestinal", "Diabetes" ], [ "11", "Solaraze", "Diclofenac solium + hyaluronic", "Dermatology", "Actinic keratoses" ], [ "12", "Almax and others", "Almagate*", "Gastrointestinal", "Antacid" ], [ "13", "Balneum and others", "Soya oil", "Dermatology", "Atopic dermatitis" ], [ "14", "Pantopam", "Pantoprazole", "Gastrointestinal", "Gastroesophageal reflux" ], [ "15", "Decoderm Tri and others", "Fluprednidene", "Dermatology", "Mycotic dermatitis" ] ]
[ "Opiren" ]
of these brands, which one is used to treat a digestive condition? || which of these brands only contain one active ingredient?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are the weights of the players on the roster?" ]
0
168, 235, 164, 168, 212, 165, 262, 168, 190, 168, 174, 190, 188
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
what are the weights of the players on the roster?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "168", "235", "164", "168", "212", "165", "262", "168", "190", "168", "174", "190", "188" ]
what are the weights of the players on the roster? ||
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
1
{ "column_index": [ 5 ], "row_index": [ 8 ] }
[ "what are the weights of the players on the roster?", "what is the heaviest weight on the roster?" ]
0
262
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
what is the heaviest weight on the roster?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "262" ]
what is the heaviest weight on the roster? || what are the weights of the players on the roster?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the weights of the players on the roster?", "what is the heaviest weight on the roster?", "which player weighs 262 pounds?" ]
0
fred rehor
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
which player weighs 262 pounds?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Fred Rehor" ]
which player weighs 262 pounds? || what is the heaviest weight on the roster? | what are the weights of the players on the roster?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are the names of the actors?" ]
1
clyde e. bastian, james bland catlett, william d. cochran, maurice f. dunne, john maulbetsch, frank millard, walter neimann, john k. norton, fred rehor, lawrence roehm, cedric c. smith, karl s. staatz, robert w. watson, richard f. dick weske, james l. whalen
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
what are the names of the actors?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Clyde E. Bastian", "James Bland Catlett", "William D. Cochran", "Maurice F. Dunne", "John Maulbetsch", "Frank Millard", "Walter Neimann", "John K. Norton", "Fred Rehor", "Lawrence Roehm", "Cedric C. Smith", "Karl S. Staatz", "Robert W. Watson", "Richard F. Dick Weske", "James L. Whalen" ]
what are the names of the actors? ||
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14 ] }
[ "what are the names of the actors?", "of these, what actors have a weight recorded?" ]
1
clyde e. bastian, william d. cochran, maurice f. dunne, john maulbetsch, frank millard, walter neimann, fred rehor, lawrence roehm, cedric c. smith, karl s. staatz, robert w. watson, richard f. dick weske, james l. whalen
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
of these, what actors have a weight recorded?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Clyde E. Bastian", "William D. Cochran", "Maurice F. Dunne", "John Maulbetsch", "Frank Millard", "Walter Neimann", "Fred Rehor", "Lawrence Roehm", "Cedric C. Smith", "Karl S. Staatz", "Robert W. Watson", "Richard F. Dick Weske", "James L. Whalen" ]
of these, what actors have a weight recorded? || what are the names of the actors?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what are the names of the actors?", "of these, what actors have a weight recorded?", "of these, which actor weighed the most?" ]
1
fred rehor
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
of these, which actor weighed the most?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Fred Rehor" ]
of these, which actor weighed the most? || of these, what actors have a weight recorded? | what are the names of the actors?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who were all of the players on the 1915 michigan wolverines football?" ]
2
clyde e. bastian, james bland catlett, william d. cochran, maurice f. dunne, john maulbetsch, frank millard, walter neimann, john k. norton, fred rehor, lawrence roehm, cedric c. smith, karl s. staatz, robert w. watson, richard f. dick weske, james l. whalen
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
who were all of the players on the 1915 michigan wolverines football?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Clyde E. Bastian", "James Bland Catlett", "William D. Cochran", "Maurice F. Dunne", "John Maulbetsch", "Frank Millard", "Walter Neimann", "John K. Norton", "Fred Rehor", "Lawrence Roehm", "Cedric C. Smith", "Karl S. Staatz", "Robert W. Watson", "Richard F. Dick Weske", "James L. Whalen" ]
who were all of the players on the 1915 michigan wolverines football? ||
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14 ] }
[ "who were all of the players on the 1915 michigan wolverines football?", "what was each player's weight?" ]
2
168, , 235, 164, 168, 212, 165, , 262, 168, 190, 168, 174, 190, 188
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
what was each player's weight?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "168", "", "235", "164", "168", "212", "165", "", "262", "168", "190", "168", "174", "190", "188" ]
what was each player's weight? || who were all of the players on the 1915 michigan wolverines football?
nt-8251
col : player | position | games started | hometown | height | weight | age row 1 : clyde e. bastian | halfback fullback | 0 1 | williamsport, pa | 5-8 | 168.0 | 22.0 row 2 : james bland catlett | halfback | 3 | brookings, sd | nan | nan | nan row 3 : william d. cochran | guard | 8 | houghton, mi | 5-8 | 235.0 | nan row 4 : maurice f. dunne | end | 3 | springfield, il | 6-0 | 164.0 | nan row 5 : john maulbetsch | halfback | 7 | ann arbor, mi | 5-8 | 168.0 | nan row 6 : frank millard | guard | 3 | ann arbor, mi | 5-7 | 212.0 | nan row 7 : walter neimann | center end | 3 1 | hermansville, mi | 5-11 | 165.0 | 21.0 row 8 : john k. norton | tackle center guard | 3 2 1 | ontonagon, mi | nan | nan | nan row 9 : fred rehor | guard | 2 | hastings, mi | 6-0 | 262.0 | 21.0 row 10 : lawrence roehm | quarterback | 7 | detroit, mi | 5-81/2 | 168.0 | 22.0 row 11 : cedric c. smith | fullback | 5 | bay city, mi | 6-0 | 190.0 | 20.0 row 12 : karl s. staatz | end | 5 | tacoma, wa | 5-10 | 168.0 | 22.0 row 13 : robert w. watson | tackle | 8 | ludington, mi | 5-9 | 174.0 | nan row 14 : richard f. dick weske | guard tackle | 0 2 | new london, ct | 6-0 | 190.0 | nan row 15 : james l. whalen | tackle guard end | 2 1 1 | savannah, ny | 5-10 | 188.0 | nan
table_csv/204_170.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "who were all of the players on the 1915 michigan wolverines football?", "what was each player's weight?", "and who weighed the most?" ]
2
fred rehor
[ "Player", "Position", "Games started", "Hometown", "Height", "Weight", "Age" ]
and who weighed the most?
[ [ "Clyde E. Bastian", "Halfback Fullback", "0 1", "Williamsport, PA", "5-8", "168.0", "22.0" ], [ "James Bland Catlett", "Halfback", "3", "Brookings, SD", "nan", "nan", "nan" ], [ "William D. Cochran", "Guard", "8", "Houghton, MI", "5-8", "235.0", "nan" ], [ "Maurice F. Dunne", "End", "3", "Springfield, IL", "6-0", "164.0", "nan" ], [ "John Maulbetsch", "Halfback", "7", "Ann Arbor, MI", "5-8", "168.0", "nan" ], [ "Frank Millard", "Guard", "3", "Ann Arbor, MI", "5-7", "212.0", "nan" ], [ "Walter Neimann", "Center End", "3 1", "Hermansville, MI", "5-11", "165.0", "21.0" ], [ "John K. Norton", "Tackle Center Guard", "3 2 1", "Ontonagon, MI", "nan", "nan", "nan" ], [ "Fred Rehor", "Guard", "2", "Hastings, MI", "6-0", "262.0", "21.0" ], [ "Lawrence Roehm", "Quarterback", "7", "Detroit, MI", "5-81/2", "168.0", "22.0" ], [ "Cedric C. Smith", "Fullback", "5", "Bay City, MI", "6-0", "190.0", "20.0" ], [ "Karl S. Staatz", "End", "5", "Tacoma, WA", "5-10", "168.0", "22.0" ], [ "Robert W. Watson", "Tackle", "8", "Ludington, MI", "5-9", "174.0", "nan" ], [ "Richard F. Dick Weske", "Guard Tackle", "0 2", "New London, CT", "6-0", "190.0", "nan" ], [ "James L. Whalen", "Tackle Guard End", "2 1 1", "Savannah, NY", "5-10", "188.0", "nan" ] ]
[ "Fred Rehor" ]
and who weighed the most? || what was each player's weight? | who were all of the players on the 1915 michigan wolverines football?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "who are all the players?" ]
0
charles frederick, jerel myers, anthony hines, boo williams, ira gooch, sam simmons, kevin beard, dawan moss, cyron brown, larrell johnson, jamarr wood, cecil moore, raymond philyaw
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
who are all the players?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Charles Frederick", "Jerel Myers", "Anthony Hines", "Boo Williams", "Ira Gooch", "Sam Simmons", "Kevin Beard", "Dawan Moss", "Cyron Brown", "Larrell Johnson", "Jamarr Wood", "Cecil Moore", "Raymond Philyaw" ]
who are all the players? ||
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "who are all the players?", "how many receptions does each have?" ]
0
115, 104, 58, 45, 24, 15, 10, 7, 3, 3, 1, 2, 1
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
how many receptions does each have?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "115", "104", "58", "45", "24", "15", "10", "7", "3", "3", "1", "2", "1" ]
how many receptions does each have? || who are all the players?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
2
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12 ] }
[ "who are all the players?", "how many receptions does each have?", "other than receptions, how many touchdowns does each have?" ]
0
27, 21, 12, 17, 6, 2, 0, 1, 1, 0, 0, 2, 0
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
other than receptions, how many touchdowns does each have?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "27", "21", "12", "17", "6", "2", "0", "1", "1", "0", "0", "2", "0" ]
other than receptions, how many touchdowns does each have? || how many receptions does each have? | who are all the players?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
3
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 6, 9, 10, 12 ] }
[ "who are all the players?", "how many receptions does each have?", "other than receptions, how many touchdowns does each have?", "who has no touchdowns?" ]
0
kevin beard, larrell johnson, jamarr wood, raymond philyaw
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
who has no touchdowns?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard", "Larrell Johnson", "Jamarr Wood", "Raymond Philyaw" ]
who has no touchdowns? || other than receptions, how many touchdowns does each have? | how many receptions does each have? | who are all the players?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
4
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "who are all the players?", "how many receptions does each have?", "other than receptions, how many touchdowns does each have?", "who has no touchdowns?", "of them, who has the most receptions?" ]
0
kevin beard
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
of them, who has the most receptions?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard" ]
of them, who has the most receptions? || who has no touchdowns? | other than receptions, how many touchdowns does each have? | how many receptions does each have? | who are all the players?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
0
{ "column_index": [ 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4, 0, 1, 4 ], "row_index": [ 0, 0, 0, 1, 1, 1, 2, 2, 2, 3, 3, 3, 4, 4, 4, 5, 5, 5, 6, 6, 6, 7, 7, 7, 8, 8, 8, 9, 9, 9, 10, 10, 10, 11, 11, 11, 12, 12, 12 ] }
[ "what players are there in the 2007 kansas city brigade season?" ]
1
charles frederick, 115, 27, jerel myers, 104, 21, anthony hines, 58, 12, boo williams, 45, 17, ira gooch, 24, 6, sam simmons, 15, 2, kevin beard, 10, 0, dawan moss, 7, 1, cyron brown, 3, 1, larrell johnson, 3, 0, jamarr wood, 1, 0, cecil moore, 2, 2, raymond philyaw, 1, 0
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
what players are there in the 2007 kansas city brigade season?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Charles Frederick", "115", "27", "Jerel Myers", "104", "21", "Anthony Hines", "58", "12", "Boo Williams", "45", "17", "Ira Gooch", "24", "6", "Sam Simmons", "15", "2", "Kevin Beard", "10", "0", "Dawan Moss", "7", "1", "Cyron Brown", "3", "1", "Larrell Johnson", "3", "0", "Jamarr Wood", "1", "0", "Cecil Moore", "2", "2", "Raymond Philyaw", "1", "0" ]
what players are there in the 2007 kansas city brigade season? ||
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
1
{ "column_index": [ 4 ], "row_index": [ 6 ] }
[ "what players are there in the 2007 kansas city brigade season?", "what is the lowest number of touchdowns?" ]
1
0
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
what is the lowest number of touchdowns?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "0" ]
what is the lowest number of touchdowns? || what players are there in the 2007 kansas city brigade season?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
2
{ "column_index": [ 0, 4, 0, 4, 0, 4, 0, 4 ], "row_index": [ 6, 6, 9, 9, 10, 10, 12, 12 ] }
[ "what players are there in the 2007 kansas city brigade season?", "what is the lowest number of touchdowns?", "which players have 0 touchdowns?" ]
1
kevin beard, 0, larrell johnson, 0, jamarr wood, 0, raymond philyaw, 0
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
which players have 0 touchdowns?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard", "0", "Larrell Johnson", "0", "Jamarr Wood", "0", "Raymond Philyaw", "0" ]
which players have 0 touchdowns? || what is the lowest number of touchdowns? | what players are there in the 2007 kansas city brigade season?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
3
{ "column_index": [ 0, 1, 0, 1, 0, 1, 0, 1 ], "row_index": [ 6, 6, 9, 9, 10, 10, 12, 12 ] }
[ "what players are there in the 2007 kansas city brigade season?", "what is the lowest number of touchdowns?", "which players have 0 touchdowns?", "what are the rec. of those players?" ]
1
kevin beard, 10, larrell johnson, 3, jamarr wood, 1, raymond philyaw, 1
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
what are the rec. of those players?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard", "10", "Larrell Johnson", "3", "Jamarr Wood", "1", "Raymond Philyaw", "1" ]
what are the rec. of those players? || which players have 0 touchdowns? | what is the lowest number of touchdowns? | what players are there in the 2007 kansas city brigade season?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
4
{ "column_index": [ 1 ], "row_index": [ 6 ] }
[ "what players are there in the 2007 kansas city brigade season?", "what is the lowest number of touchdowns?", "which players have 0 touchdowns?", "what are the rec. of those players?", "what is the highest rec. out of those players?" ]
1
10
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
what is the highest rec. out of those players?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "10" ]
what is the highest rec. out of those players? || what are the rec. of those players? | which players have 0 touchdowns? | what is the lowest number of touchdowns? | what players are there in the 2007 kansas city brigade season?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
5
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "what players are there in the 2007 kansas city brigade season?", "what is the lowest number of touchdowns?", "which players have 0 touchdowns?", "what are the rec. of those players?", "what is the highest rec. out of those players?", "what player has that many rec.?" ]
1
kevin beard
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
what player has that many rec.?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard" ]
what player has that many rec.? || what is the highest rec. out of those players? | what are the rec. of those players? | which players have 0 touchdowns? | what is the lowest number of touchdowns? | what players are there in the 2007 kansas city brigade season?
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
0
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 6, 9, 10, 12 ] }
[ "which players had no touchdowns?" ]
2
kevin beard, larrell johnson, jamarr wood, raymond philyaw
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
which players had no touchdowns?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard", "Larrell Johnson", "Jamarr Wood", "Raymond Philyaw" ]
which players had no touchdowns? ||
nt-8256
col : player | rec. | yards | avg. | td's | long row 1 : charles frederick | 115 | 1385 | 12.0 | 27 | 42 row 2 : jerel myers | 104 | 1183 | 11.4 | 21 | 38 row 3 : anthony hines | 58 | 822 | 14.2 | 12 | 39 row 4 : boo williams | 45 | 474 | 10.5 | 17 | 35 row 5 : ira gooch | 24 | 339 | 14.1 | 6 | 32 row 6 : sam simmons | 15 | 197 | 13.1 | 2 | 30 row 7 : kevin beard | 10 | 87 | 8.7 | 0 | 21 row 8 : dawan moss | 7 | 39 | 5.6 | 1 | 12 row 9 : cyron brown | 3 | 17 | 5.7 | 1 | 8 row 10 : larrell johnson | 3 | 14 | 4.7 | 0 | 6 row 11 : jamarr wood | 1 | 13 | 13.0 | 0 | 13 row 12 : cecil moore | 2 | 9 | 4.5 | 2 | 8 row 13 : raymond philyaw | 1 | -6 | -6.0 | 0 | -6
table_csv/203_8.csv
1
{ "column_index": [ 0 ], "row_index": [ 6 ] }
[ "which players had no touchdowns?", "of those with no touchdowns, which player had the most receptions?" ]
2
kevin beard
[ "Player", "Rec.", "Yards", "Avg.", "TD's", "Long" ]
of those with no touchdowns, which player had the most receptions?
[ [ "Charles Frederick", "115", "1385", "12.0", "27", "42" ], [ "Jerel Myers", "104", "1183", "11.4", "21", "38" ], [ "Anthony Hines", "58", "822", "14.2", "12", "39" ], [ "Boo Williams", "45", "474", "10.5", "17", "35" ], [ "Ira Gooch", "24", "339", "14.1", "6", "32" ], [ "Sam Simmons", "15", "197", "13.1", "2", "30" ], [ "Kevin Beard", "10", "87", "8.7", "0", "21" ], [ "Dawan Moss", "7", "39", "5.6", "1", "12" ], [ "Cyron Brown", "3", "17", "5.7", "1", "8" ], [ "Larrell Johnson", "3", "14", "4.7", "0", "6" ], [ "Jamarr Wood", "1", "13", "13.0", "0", "13" ], [ "Cecil Moore", "2", "9", "4.5", "2", "8" ], [ "Raymond Philyaw", "1", "-6", "-6.0", "0", "-6" ] ]
[ "Kevin Beard" ]
of those with no touchdowns, which player had the most receptions? || which players had no touchdowns?
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are all the song titles?" ]
0
intro (skit), zero, it's murda, jankrowville, parrowdice, b 4 u die, all i got, black rose, lynching (skit), our time, terra firma anthum (skit), daggo mentality, neighbour (skit), son of niah
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
what are all the song titles?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "Intro (Skit)", "Zero", "It's Murda", "Jankrowville", "Parrowdice", "B 4 U Die", "All I Got", "Black Rose", "Lynching (Skit)", "Our Time", "Terra Firma Anthum (Skit)", "Daggo Mentality", "Neighbour (Skit)", "Son Of Niah" ]
what are all the song titles? ||
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are all the song titles?", "how long are they?" ]
0
1:50, 4:01, 5:01, 5:26, 5:52, 4:09, 4:00, 4:04, 1:12, 3:56, 0:52, 4:01, 0:46, 4:54
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
how long are they?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "1:50", "4:01", "5:01", "5:26", "5:52", "4:09", "4:00", "4:04", "1:12", "3:56", "0:52", "4:01", "0:46", "4:54" ]
how long are they? || what are all the song titles?
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
2
{ "column_index": [ 4 ], "row_index": [ 12 ] }
[ "what are all the song titles?", "how long are they?", "and what is the shortest duration of all the songs?" ]
0
0:46
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
and what is the shortest duration of all the songs?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "0:46" ]
and what is the shortest duration of all the songs? || how long are they? | what are all the song titles?
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are all the lengths?" ]
1
1:50, 4:01, 5:01, 5:26, 5:52, 4:09, 4:00, 4:04, 1:12, 3:56, 0:52, 4:01, 0:46, 4:54
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
what are all the lengths?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "1:50", "4:01", "5:01", "5:26", "5:52", "4:09", "4:00", "4:04", "1:12", "3:56", "0:52", "4:01", "0:46", "4:54" ]
what are all the lengths? ||
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
1
{ "column_index": [ 4 ], "row_index": [ 12 ] }
[ "what are all the lengths?", "of these, which is the shortest?" ]
1
0:46
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
of these, which is the shortest?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "0:46" ]
of these, which is the shortest? || what are all the lengths?
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
0
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13 ] }
[ "what are the listed song length for this album?" ]
2
1:50, 4:01, 5:01, 5:26, 5:52, 4:09, 4:00, 4:04, 1:12, 3:56, 0:52, 4:01, 0:46, 4:54
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
what are the listed song length for this album?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "1:50", "4:01", "5:01", "5:26", "5:52", "4:09", "4:00", "4:04", "1:12", "3:56", "0:52", "4:01", "0:46", "4:54" ]
what are the listed song length for this album? ||
ns-402
col : # | title | featured guest(s) | producer(s) | length row 1 : 1 | intro (skit) | nan | nan | 1:50 row 2 : 2 | zero | nan | lewis parker | 4:01 row 3 : 3 | it's murda | nan | harry love | 5:01 row 4 : 4 | jankrowville | nan | l. dolo | 5:26 row 5 : 5 | parrowdice | kyza and skriblah | harry love | 5:52 row 6 : 6 | b 4 u die | kyza and skriblah | joe buhdha | 4:09 row 7 : 7 | all i got | nan | joe buhdha | 4:00 row 8 : 8 | black rose | nan | joe buhdha | 4:04 row 9 : 9 | lynching (skit) | nan | nan | 1:12 row 10 : 10 | our time | nan | lewis parker | 3:56 row 11 : 11 | terra firma anthum (skit) | nan | nan | 0:52 row 12 : 12 | daggo mentality | nan | lewis parker | 4:01 row 13 : 13 | neighbour (skit) | nan | nan | 0:46 row 14 : 14 | son of niah | nan | ac.war.ion | 4:54
table_csv/203_701.csv
1
{ "column_index": [ 4 ], "row_index": [ 12 ] }
[ "what are the listed song length for this album?", "what is the shortest length for a song?" ]
2
0:46
[ "#", "Title", "Featured guest(s)", "Producer(s)", "Length" ]
what is the shortest length for a song?
[ [ "1", "Intro (Skit)", "nan", "nan", "1:50" ], [ "2", "Zero", "nan", "Lewis Parker", "4:01" ], [ "3", "It's Murda", "nan", "Harry Love", "5:01" ], [ "4", "Jankrowville", "nan", "L. Dolo", "5:26" ], [ "5", "Parrowdice", "Kyza And Skriblah", "Harry Love", "5:52" ], [ "6", "B 4 U Die", "Kyza And Skriblah", "Joe Buhdha", "4:09" ], [ "7", "All I Got", "nan", "Joe Buhdha", "4:00" ], [ "8", "Black Rose", "nan", "Joe Buhdha", "4:04" ], [ "9", "Lynching (Skit)", "nan", "nan", "1:12" ], [ "10", "Our Time", "nan", "Lewis Parker", "3:56" ], [ "11", "Terra Firma Anthum (Skit)", "nan", "nan", "0:52" ], [ "12", "Daggo Mentality", "nan", "Lewis Parker", "4:01" ], [ "13", "Neighbour (Skit)", "nan", "nan", "0:46" ], [ "14", "Son Of Niah", "nan", "AC.WAR.ION", "4:54" ] ]
[ "0:46" ]
what is the shortest length for a song? || what are the listed song length for this album?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 10, 11, 12, 13, 14, 15 ] }
[ "which countries are ranked 11th?" ]
0
chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries are ranked 11th?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)" ]
which countries are ranked 11th? ||
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
1
{ "column_index": [ 1 ], "row_index": [ 10 ] }
[ "which countries are ranked 11th?", "of those countries, which one was ranked at the top, or first?" ]
0
chile (chi)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those countries, which one was ranked at the top, or first?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)" ]
of those countries, which one was ranked at the top, or first? || which countries are ranked 11th?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "what countries did not win a gold in shooting at the 1988 summer olympics?" ]
1
china (chn), chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa), hungary (hun), belgium (bel), spain (esp)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what countries did not win a gold in shooting at the 1988 summer olympics?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "China (CHN)", "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)", "Hungary (HUN)", "Belgium (BEL)", "Spain (ESP)" ]
what countries did not win a gold in shooting at the 1988 summer olympics? ||
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 10, 11, 12, 13, 14, 15, 17, 18 ] }
[ "what countries did not win a gold in shooting at the 1988 summer olympics?", "what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all?" ]
1
chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa), belgium (bel), spain (esp)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)", "Belgium (BEL)", "Spain (ESP)" ]
what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all? || what countries did not win a gold in shooting at the 1988 summer olympics?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
2
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 10, 11, 12, 13, 14, 15 ] }
[ "what countries did not win a gold in shooting at the 1988 summer olympics?", "what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all?", "what countries with no gold and only one medal in shooting at the 1988 summer olympics won silver?" ]
1
chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what countries with no gold and only one medal in shooting at the 1988 summer olympics won silver?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)" ]
what countries with no gold and only one medal in shooting at the 1988 summer olympics won silver? || what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all? | what countries did not win a gold in shooting at the 1988 summer olympics?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
3
{ "column_index": [ 1 ], "row_index": [ 10 ] }
[ "what countries did not win a gold in shooting at the 1988 summer olympics?", "what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all?", "what countries with no gold and only one medal in shooting at the 1988 summer olympics won silver?", "what was the only country that only won a silver medal is in south america?" ]
1
chile (chi)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
what was the only country that only won a silver medal is in south america?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)" ]
what was the only country that only won a silver medal is in south america? || what countries with no gold and only one medal in shooting at the 1988 summer olympics won silver? | what countries in the shooting at the 1988 summer olympics didn't win a gold or more then one medal over all? | what countries did not win a gold in shooting at the 1988 summer olympics?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18 ] }
[ "which countries were in the shooting competition at the 1988 summer olympics?" ]
2
soviet union (urs), yugoslavia (yug), west germany (frg), bulgaria (bul), czechoslovakia (tch), east germany (gdr), great britain (gbr), norway (nor), romania (rou), china (chn), chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa), hungary (hun), belgium (bel), spain (esp)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries were in the shooting competition at the 1988 summer olympics?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Soviet Union (URS)", "Yugoslavia (YUG)", "West Germany (FRG)", "Bulgaria (BUL)", "Czechoslovakia (TCH)", "East Germany (GDR)", "Great Britain (GBR)", "Norway (NOR)", "Romania (ROU)", "China (CHN)", "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)", "Hungary (HUN)", "Belgium (BEL)", "Spain (ESP)" ]
which countries were in the shooting competition at the 1988 summer olympics? ||
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1 ], "row_index": [ 10, 11, 12, 13, 14, 15 ] }
[ "which countries were in the shooting competition at the 1988 summer olympics?", "which of those countries were ranked 11th?" ]
2
chile (chi), france (fra), japan (jpn), south korea (kor), sweden (swe), united states (usa)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of those countries were ranked 11th?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)", "France (FRA)", "Japan (JPN)", "South Korea (KOR)", "Sweden (SWE)", "United States (USA)" ]
which of those countries were ranked 11th? || which countries were in the shooting competition at the 1988 summer olympics?
nt-2512
col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39
table_csv/203_113.csv
2
{ "column_index": [ 1 ], "row_index": [ 10 ] }
[ "which countries were in the shooting competition at the 1988 summer olympics?", "which of those countries were ranked 11th?", "which of the countries ranked 11th is at the top of that ranking?" ]
2
chile (chi)
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of the countries ranked 11th is at the top of that ranking?
[ [ "1", "Soviet Union (URS)", "4", "1", "6", "11" ], [ "2", "Yugoslavia (YUG)", "2", "0", "1", "3" ], [ "3", "West Germany (FRG)", "1", "1", "1", "3" ], [ "4", "Bulgaria (BUL)", "1", "1", "0", "2" ], [ "4", "Czechoslovakia (TCH)", "1", "1", "0", "2" ], [ "4", "East Germany (GDR)", "1", "1", "0", "2" ], [ "4", "Great Britain (GBR)", "1", "1", "0", "2" ], [ "8", "Norway (NOR)", "1", "0", "0", "1" ], [ "8", "Romania (ROU)", "1", "0", "0", "1" ], [ "10", "China (CHN)", "0", "1", "1", "2" ], [ "11", "Chile (CHI)", "0", "1", "0", "1" ], [ "11", "France (FRA)", "0", "1", "0", "1" ], [ "11", "Japan (JPN)", "0", "1", "0", "1" ], [ "11", "South Korea (KOR)", "0", "1", "0", "1" ], [ "11", "Sweden (SWE)", "0", "1", "0", "1" ], [ "11", "United States (USA)", "0", "1", "0", "1" ], [ "17", "Hungary (HUN)", "0", "0", "2", "2" ], [ "18", "Belgium (BEL)", "0", "0", "1", "1" ], [ "18", "Spain (ESP)", "0", "0", "1", "1" ], [ "Total", "Total", "13", "13", "13", "39" ] ]
[ "Chile (CHI)" ]
which of the countries ranked 11th is at the top of that ranking? || which of those countries were ranked 11th? | which countries were in the shooting competition at the 1988 summer olympics?
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
0
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 2, 3, 5, 6, 7, 8, 9, 10, 11 ] }
[ "who received a tony after 1960?" ]
0
1975, 1961,, 1976, 1997, 2001, 1964, 2002, 1994, 2004
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
who received a tony after 1960?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "1975", "1961,", "1976", "1997", "2001", "1964", "2002", "1994", "2004" ]
who received a tony after 1960? ||
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "who received a tony after 1960?", "who took longest to get a completed egot?" ]
0
mike nichols
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
who took longest to get a completed egot?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "Mike Nichols" ]
who took longest to get a completed egot? || who received a tony after 1960?
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
0
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "who took 45 years to complete the egot?" ]
1
helen hayes
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
who took 45 years to complete the egot?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "Helen Hayes" ]
who took 45 years to complete the egot? ||
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
1
{ "column_index": [ 0 ], "row_index": [ 11 ] }
[ "who took 45 years to complete the egot?", "who took the least amount of years to receive the egot?" ]
1
robert lopez
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
who took the least amount of years to receive the egot?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "Robert Lopez" ]
who took the least amount of years to receive the egot? || who took 45 years to complete the egot?
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
2
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "who took 45 years to complete the egot?", "who took the least amount of years to receive the egot?", "who took 40 years to complete their egot?" ]
1
mike nichols
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
who took 40 years to complete their egot?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "Mike Nichols" ]
who took 40 years to complete their egot? || who took the least amount of years to receive the egot? | who took 45 years to complete the egot?
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
0
{ "column_index": [ 1 ], "row_index": [ 8 ] }
[ "what is the largest egot completed?" ]
2
2001 (40 years)
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
what is the largest egot completed?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "2001 (40 years)" ]
what is the largest egot completed? ||
nt-3024
col : name | egot completed | emmy | grammy | oscar | tony row 1 : richard rodgers | 1962 (17 years) | 1962 | 1960 | 1945 | 1950, row 2 : helen hayes | 1977 (45 years) | 1953 | 1977 | 1932 | 1947, row 3 : rita moreno | 1977 (16 years) | 1977 | 1972 | 1961 | 1975 row 4 : john gielgud | 1991 (30 years) | 1991 | 1979 | 1981 | 1961, row 5 : audrey hepburn | 1994 (41 years) | 1993 | 1994 | 1953 | 1954 row 6 : marvin hamlisch | 1995 (23 years) | 1995 | 1974 | 1973 | 1976 row 7 : jonathan tunick | 1997 (20 years) | 1982 | 1988 | 1977 | 1997 row 8 : mel brooks | 2001 (34 years) | 1967 | 1998 | 1968 | 2001 row 9 : mike nichols | 2001 (40 years) | 2001 | 1961 | 1967 | 1964 row 10 : whoopi goldberg | 2002 (17 years) | 2002, | 1985 | 1990 | 2002 row 11 : scott rudin | 2012 (28 years) | 1984 | 2012 | 2007 | 1994 row 12 : robert lopez | 2014 (10 years) | 2008 | 2012 | 2014 | 2004
table_csv/204_673.csv
1
{ "column_index": [ 0 ], "row_index": [ 8 ] }
[ "what is the largest egot completed?", "what is the name?" ]
2
mike nichols
[ "Name", "EGOT completed", "Emmy", "Grammy", "Oscar", "Tony" ]
what is the name?
[ [ "Richard Rodgers", "1962 (17 years)", "1962", "1960", "1945", "1950," ], [ "Helen Hayes", "1977 (45 years)", "1953", "1977", "1932", "1947," ], [ "Rita Moreno", "1977 (16 years)", "1977", "1972", "1961", "1975" ], [ "John Gielgud", "1991 (30 years)", "1991", "1979", "1981", "1961," ], [ "Audrey Hepburn", "1994 (41 years)", "1993", "1994", "1953", "1954" ], [ "Marvin Hamlisch", "1995 (23 years)", "1995", "1974", "1973", "1976" ], [ "Jonathan Tunick", "1997 (20 years)", "1982", "1988", "1977", "1997" ], [ "Mel Brooks", "2001 (34 years)", "1967", "1998", "1968", "2001" ], [ "Mike Nichols", "2001 (40 years)", "2001", "1961", "1967", "1964" ], [ "Whoopi Goldberg", "2002 (17 years)", "2002,", "1985", "1990", "2002" ], [ "Scott Rudin", "2012 (28 years)", "1984", "2012", "2007", "1994" ], [ "Robert Lopez", "2014 (10 years)", "2008", "2012", "2014", "2004" ] ]
[ "Mike Nichols" ]
what is the name? || what is the largest egot completed?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
0
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "what movie did zhao dan star in 1933?" ]
0
twenty-four hours in shanghai
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
what movie did zhao dan star in 1933?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Twenty-Four Hours in Shanghai" ]
what movie did zhao dan star in 1933? ||
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
1
{ "column_index": [ 1 ], "row_index": [ 1 ] }
[ "what movie did zhao dan star in 1933?", "what movie did he star in 1937?" ]
0
street angel
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
what movie did he star in 1937?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Street Angel" ]
what movie did he star in 1937? || what movie did zhao dan star in 1933?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what movie did zhao dan star in 1933?", "what movie did he star in 1937?", "in 1937 what other movie did he star in?" ]
0
crossroads
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
in 1937 what other movie did he star in?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Crossroads" ]
in 1937 what other movie did he star in? || what movie did he star in 1937? | what movie did zhao dan star in 1933?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
0
{ "column_index": [ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4 ], "row_index": [ 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11 ] }
[ "what are all of the movies in which zhao dan played?" ]
1
1933, twenty-four hours in shanghai, shang hai er shi si xiao shi, shen xiling, , 1937, street angel, ma lu tian shi, yuan muzhi, xiao chen, 1937, crossroads, shi zi jie tou, shen xiling, zhao, 1947, far away love, yao yuan de ai, chen liting, xiao yuanxi, 1947, rhapsody of happiness, xing fu kuang xiang qu, chen liting, , 1949, crows and sparrows, wu ya yu ma que, zheng junli, little broadcast, 1949, women side by side, li ren xing, chen liting, zhang yuliang, 1950, the life of wu xun, wu xun chuan, sun yu, wu xun, 1951, the married couple, wo men fu fu zhi jian, zheng junli, , 1956, li shizhen, li shi zhen, shen fu, li shizhen, 1958, lin zexu, lin ze xu, zheng junli, lin zexu, 1959, nie er, nie er, zheng junli, nie er
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
what are all of the movies in which zhao dan played?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "", "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen", "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao", "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi", "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "", "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast", "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang", "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun", "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "", "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen", "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu", "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ]
what are all of the movies in which zhao dan played? ||
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
1
{ "column_index": [ 0, 1, 2, 3, 4, 0, 1, 2, 3, 4 ], "row_index": [ 1, 1, 1, 1, 1, 2, 2, 2, 2, 2 ] }
[ "what are all of the movies in which zhao dan played?", "of those, which were in the same year as street angel?" ]
1
1937, street angel, ma lu tian shi, yuan muzhi, xiao chen, 1937, crossroads, shi zi jie tou, shen xiling, zhao
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
of those, which were in the same year as street angel?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen", "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ]
of those, which were in the same year as street angel? || what are all of the movies in which zhao dan played?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
2
{ "column_index": [ 0, 1, 2, 3, 4 ], "row_index": [ 2, 2, 2, 2, 2 ] }
[ "what are all of the movies in which zhao dan played?", "of those, which were in the same year as street angel?", "of those, which is not street angel?" ]
1
1937, crossroads, shi zi jie tou, shen xiling, zhao
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
of those, which is not street angel?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ]
of those, which is not street angel? || of those, which were in the same year as street angel? | what are all of the movies in which zhao dan played?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
3
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "what are all of the movies in which zhao dan played?", "of those, which were in the same year as street angel?", "of those, which is not street angel?", "for that result, what is the english title?" ]
1
crossroads
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
for that result, what is the english title?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Crossroads" ]
for that result, what is the english title? || of those, which is not street angel? | of those, which were in the same year as street angel? | what are all of the movies in which zhao dan played?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "which movies has zhao dan starred in?" ]
2
twenty-four hours in shanghai, street angel, crossroads, far away love, rhapsody of happiness, crows and sparrows, women side by side, the life of wu xun, the married couple, li shizhen, lin zexu, nie er
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
which movies has zhao dan starred in?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Twenty-Four Hours in Shanghai", "Street Angel", "Crossroads", "Far Away Love", "Rhapsody of Happiness", "Crows and Sparrows", "Women Side by Side", "The Life of Wu Xun", "The Married Couple", "Li Shizhen", "Lin Zexu", "Nie Er" ]
which movies has zhao dan starred in? ||
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
1
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 ] }
[ "which movies has zhao dan starred in?", "in what years were they released?" ]
2
1933, 1937, 1937, 1947, 1947, 1949, 1949, 1950, 1951, 1956, 1958, 1959
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
in what years were they released?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "1933", "1937", "1937", "1947", "1947", "1949", "1949", "1950", "1951", "1956", "1958", "1959" ]
in what years were they released? || which movies has zhao dan starred in?
nt-4215
col : year | english title | chinese title | director | role row 1 : 1933 | twenty-four hours in shanghai | shang hai er shi si xiao shi | shen xiling | nan row 2 : 1937 | street angel | ma lu tian shi | yuan muzhi | xiao chen row 3 : 1937 | crossroads | shi zi jie tou | shen xiling | zhao row 4 : 1947 | far away love | yao yuan de ai | chen liting | xiao yuanxi row 5 : 1947 | rhapsody of happiness | xing fu kuang xiang qu | chen liting | nan row 6 : 1949 | crows and sparrows | wu ya yu ma que | zheng junli | little broadcast row 7 : 1949 | women side by side | li ren xing | chen liting | zhang yuliang row 8 : 1950 | the life of wu xun | wu xun chuan | sun yu | wu xun row 9 : 1951 | the married couple | wo men fu fu zhi jian | zheng junli | nan row 10 : 1956 | li shizhen | li shi zhen | shen fu | li shizhen row 11 : 1958 | lin zexu | lin ze xu | zheng junli | lin zexu row 12 : 1959 | nie er | nie er | zheng junli | nie er
table_csv/204_707.csv
2
{ "column_index": [ 1 ], "row_index": [ 2 ] }
[ "which movies has zhao dan starred in?", "in what years were they released?", "and of those, which shared a year with street angel?" ]
2
crossroads
[ "Year", "English Title", "Chinese Title", "Director", "Role" ]
and of those, which shared a year with street angel?
[ [ "1933", "Twenty-Four Hours in Shanghai", "Shang Hai Er Shi Si Xiao Shi", "Shen Xiling", "nan" ], [ "1937", "Street Angel", "Ma Lu Tian Shi", "Yuan Muzhi", "Xiao Chen" ], [ "1937", "Crossroads", "Shi Zi Jie Tou", "Shen Xiling", "Zhao" ], [ "1947", "Far Away Love", "Yao Yuan De Ai", "Chen Liting", "Xiao Yuanxi" ], [ "1947", "Rhapsody of Happiness", "Xing Fu Kuang Xiang Qu", "Chen Liting", "nan" ], [ "1949", "Crows and Sparrows", "Wu Ya Yu Ma Que", "Zheng Junli", "Little Broadcast" ], [ "1949", "Women Side by Side", "Li Ren Xing", "Chen Liting", "Zhang Yuliang" ], [ "1950", "The Life of Wu Xun", "Wu Xun Chuan", "Sun Yu", "Wu Xun" ], [ "1951", "The Married Couple", "Wo Men Fu Fu Zhi Jian", "Zheng Junli", "nan" ], [ "1956", "Li Shizhen", "Li Shi Zhen", "Shen Fu", "Li Shizhen" ], [ "1958", "Lin Zexu", "Lin Ze Xu", "Zheng Junli", "Lin Zexu" ], [ "1959", "Nie Er", "Nie Er", "Zheng Junli", "Nie Er" ] ]
[ "Crossroads" ]
and of those, which shared a year with street angel? || in what years were they released? | which movies has zhao dan starred in?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "which countries are in the 1984 central american and caribbean junior championships in athletics?" ]
0
puerto rico, bahamas, mexico, jamaica, barbados, trinidad and tobago, venezuela, colombia, u.s. virgin islands, martinique, antigua and barbuda, suriname, bermuda, dominican republic, panama, cayman islands, saint kitts and nevis
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries are in the 1984 central american and caribbean junior championships in athletics?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico", "Bahamas", "Mexico", "Jamaica", "Barbados", "Trinidad and Tobago", "Venezuela", "Colombia", "U.S. Virgin Islands", "Martinique", "Antigua and Barbuda", "Suriname", "Bermuda", "Dominican Republic", "Panama", "Cayman Islands", "Saint Kitts and Nevis" ]
which countries are in the 1984 central american and caribbean junior championships in athletics? ||
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14 ] }
[ "which countries are in the 1984 central american and caribbean junior championships in athletics?", "which of these won silver medals?" ]
0
puerto rico, bahamas, mexico, jamaica, barbados, trinidad and tobago, venezuela, colombia, u.s. virgin islands, martinique, bermuda, dominican republic, panama
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which of these won silver medals?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico", "Bahamas", "Mexico", "Jamaica", "Barbados", "Trinidad and Tobago", "Venezuela", "Colombia", "U.S. Virgin Islands", "Martinique", "Bermuda", "Dominican Republic", "Panama" ]
which of these won silver medals? || which countries are in the 1984 central american and caribbean junior championships in athletics?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which countries are in the 1984 central american and caribbean junior championships in athletics?", "which of these won silver medals?", "which had the highest number of silver medals?" ]
0
puerto rico
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which had the highest number of silver medals?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico" ]
which had the highest number of silver medals? || which of these won silver medals? | which countries are in the 1984 central american and caribbean junior championships in athletics?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "which countries participated?" ]
1
puerto rico, bahamas, mexico, jamaica, barbados, trinidad and tobago, venezuela, colombia, u.s. virgin islands, martinique, antigua and barbuda, suriname, bermuda, dominican republic, panama, cayman islands, saint kitts and nevis
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries participated?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico", "Bahamas", "Mexico", "Jamaica", "Barbados", "Trinidad and Tobago", "Venezuela", "Colombia", "U.S. Virgin Islands", "Martinique", "Antigua and Barbuda", "Suriname", "Bermuda", "Dominican Republic", "Panama", "Cayman Islands", "Saint Kitts and Nevis" ]
which countries participated? ||
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
1
{ "column_index": [ 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "which countries participated?", "how many silver medals did they win?" ]
1
27, 15, 9, 6, 3, 2, 3, 1, 1, 1, 0, 0, 4, 2, 1, 0, 0
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
how many silver medals did they win?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "27", "15", "9", "6", "3", "2", "3", "1", "1", "1", "0", "0", "4", "2", "1", "0", "0" ]
how many silver medals did they win? || which countries participated?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which countries participated?", "how many silver medals did they win?", "and which country had the most?" ]
1
puerto rico
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
and which country had the most?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico" ]
and which country had the most? || how many silver medals did they win? | which countries participated?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
0
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16 ] }
[ "which countries participated in the 1984 central american and caribbean junior championships in athletics?" ]
2
puerto rico, bahamas, mexico, jamaica, barbados, trinidad and tobago, venezuela, colombia, u.s. virgin islands, martinique, antigua and barbuda, suriname, bermuda, dominican republic, panama, cayman islands, saint kitts and nevis
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
which countries participated in the 1984 central american and caribbean junior championships in athletics?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico", "Bahamas", "Mexico", "Jamaica", "Barbados", "Trinidad and Tobago", "Venezuela", "Colombia", "U.S. Virgin Islands", "Martinique", "Antigua and Barbuda", "Suriname", "Bermuda", "Dominican Republic", "Panama", "Cayman Islands", "Saint Kitts and Nevis" ]
which countries participated in the 1984 central american and caribbean junior championships in athletics? ||
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
1
{ "column_index": [ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14 ] }
[ "which countries participated in the 1984 central american and caribbean junior championships in athletics?", "of those countries that participated, which countries won silver medals?" ]
2
puerto rico, bahamas, mexico, jamaica, barbados, trinidad and tobago, venezuela, colombia, u.s. virgin islands, martinique, bermuda, dominican republic, panama
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those countries that participated, which countries won silver medals?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico", "Bahamas", "Mexico", "Jamaica", "Barbados", "Trinidad and Tobago", "Venezuela", "Colombia", "U.S. Virgin Islands", "Martinique", "Bermuda", "Dominican Republic", "Panama" ]
of those countries that participated, which countries won silver medals? || which countries participated in the 1984 central american and caribbean junior championships in athletics?
nt-7032
col : rank | nation | gold | silver | bronze | total row 1 : 1 | puerto rico | 17 | 27 | 13 | 57 row 2 : 2 | bahamas | 17 | 15 | 19 | 51 row 3 : 3 | mexico | 9 | 9 | 5 | 23 row 4 : 4 | jamaica | 8 | 6 | 4 | 18 row 5 : 5 | barbados | 7 | 3 | 6 | 16 row 6 : 6 | trinidad and tobago | 7 | 2 | 2 | 11 row 7 : 7 | venezuela | 3 | 3 | 8 | 14 row 8 : 8 | colombia | 3 | 1 | 2 | 6 row 9 : 9 | u.s. virgin islands | 1 | 1 | 3 | 5 row 10 : 10 | martinique | 1 | 1 | 0 | 2 row 11 : 11 | antigua and barbuda | 1 | 0 | 1 | 2 row 12 : 12 | suriname | 1 | 0 | 0 | 1 row 13 : 13 | bermuda | 0 | 4 | 2 | 6 row 14 : 14 | dominican republic | 0 | 2 | 4 | 6 row 15 : 15 | panama | 0 | 1 | 2 | 3 row 16 : 16 | cayman islands | 0 | 0 | 2 | 2 row 17 : 16 | saint kitts and nevis | 0 | 0 | 2 | 2
table_csv/204_800.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "which countries participated in the 1984 central american and caribbean junior championships in athletics?", "of those countries that participated, which countries won silver medals?", "of those countries that won silver medals, which won the most?" ]
2
puerto rico
[ "Rank", "Nation", "Gold", "Silver", "Bronze", "Total" ]
of those countries that won silver medals, which won the most?
[ [ "1", "Puerto Rico", "17", "27", "13", "57" ], [ "2", "Bahamas", "17", "15", "19", "51" ], [ "3", "Mexico", "9", "9", "5", "23" ], [ "4", "Jamaica", "8", "6", "4", "18" ], [ "5", "Barbados", "7", "3", "6", "16" ], [ "6", "Trinidad and Tobago", "7", "2", "2", "11" ], [ "7", "Venezuela", "3", "3", "8", "14" ], [ "8", "Colombia", "3", "1", "2", "6" ], [ "9", "U.S. Virgin Islands", "1", "1", "3", "5" ], [ "10", "Martinique", "1", "1", "0", "2" ], [ "11", "Antigua and Barbuda", "1", "0", "1", "2" ], [ "12", "Suriname", "1", "0", "0", "1" ], [ "13", "Bermuda", "0", "4", "2", "6" ], [ "14", "Dominican Republic", "0", "2", "4", "6" ], [ "15", "Panama", "0", "1", "2", "3" ], [ "16", "Cayman Islands", "0", "0", "2", "2" ], [ "16", "Saint Kitts and Nevis", "0", "0", "2", "2" ] ]
[ "Puerto Rico" ]
of those countries that won silver medals, which won the most? || of those countries that participated, which countries won silver medals? | which countries participated in the 1984 central american and caribbean junior championships in athletics?
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the dates of service entry?" ]
0
1 dec 1953, 30 oct 1953, 18 jan 1954, 13 jan 1954, 8 feb 1954, 21 jan 1954, 25 jan 1954, 22 feb 1954, 11 mar 1954, 10 feb 1955
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
what are the dates of service entry?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "1 Dec 1953", "30 Oct 1953", "18 Jan 1954", "13 Jan 1954", "8 Feb 1954", "21 Jan 1954", "25 Jan 1954", "22 Feb 1954", "11 Mar 1954", "10 Feb 1955" ]
what are the dates of service entry? ||
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "what are the dates of service entry?", "what were the kilometres travelled on these dates?" ]
0
463,514, 492,650, 462,871, 440,810, ?, 406,288, 446,167, 402,026, 426,074, 476,489
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
what were the kilometres travelled on these dates?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "463,514", "492,650", "462,871", "440,810", "?", "406,288", "446,167", "402,026", "426,074", "476,489" ]
what were the kilometres travelled on these dates? || what are the dates of service entry?
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what are the dates of service entry?", "what were the kilometres travelled on these dates?", "on which date were 402,026 kilometres travelled?" ]
0
22 feb 1954
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
on which date were 402,026 kilometres travelled?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "22 Feb 1954" ]
on which date were 402,026 kilometres travelled? || what were the kilometres travelled on these dates? | what are the dates of service entry?
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
0
{ "column_index": [ 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4, 2, 4 ], "row_index": [ 0, 0, 1, 1, 2, 2, 3, 3, 4, 4, 5, 5, 6, 6, 7, 7, 8, 8, 9, 9 ] }
[ "what were the kilometres travelled?" ]
1
1 dec 1953, 463,514, 30 oct 1953, 492,650, 18 jan 1954, 462,871, 13 jan 1954, 440,810, 8 feb 1954, ?, 21 jan 1954, 406,288, 25 jan 1954, 446,167, 22 feb 1954, 402,026, 11 mar 1954, 426,074, 10 feb 1955, 476,489
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
what were the kilometres travelled?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "1 Dec 1953", "463,514", "30 Oct 1953", "492,650", "18 Jan 1954", "462,871", "13 Jan 1954", "440,810", "8 Feb 1954", "?", "21 Jan 1954", "406,288", "25 Jan 1954", "446,167", "22 Feb 1954", "402,026", "11 Mar 1954", "426,074", "10 Feb 1955", "476,489" ]
what were the kilometres travelled? ||
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
1
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "what were the kilometres travelled?", "for the one who travelled 402, 026 kilometres, what was the date it entered service?" ]
1
22 feb 1954
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
for the one who travelled 402, 026 kilometres, what was the date it entered service?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "22 Feb 1954" ]
for the one who travelled 402, 026 kilometres, what was the date it entered service? || what were the kilometres travelled?
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
0
{ "column_index": [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "on which dates were locomotives entered into service?" ]
2
1 dec 1953, 30 oct 1953, 18 jan 1954, 13 jan 1954, 8 feb 1954, 21 jan 1954, 25 jan 1954, 22 feb 1954, 11 mar 1954, 10 feb 1955
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
on which dates were locomotives entered into service?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "1 Dec 1953", "30 Oct 1953", "18 Jan 1954", "13 Jan 1954", "8 Feb 1954", "21 Jan 1954", "25 Jan 1954", "22 Feb 1954", "11 Mar 1954", "10 Feb 1955" ]
on which dates were locomotives entered into service? ||
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
1
{ "column_index": [ 4, 4, 4, 4, 4, 4, 4, 4, 4, 4 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 ] }
[ "on which dates were locomotives entered into service?", "how far did they travel?" ]
2
463,514, 492,650, 462,871, 440,810, ?, 406,288, 446,167, 402,026, 426,074, 476,489
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
how far did they travel?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "463,514", "492,650", "462,871", "440,810", "?", "406,288", "446,167", "402,026", "426,074", "476,489" ]
how far did they travel? || on which dates were locomotives entered into service?
nt-7319
col : number | serial no | entered service | withdrawn | kilometres travelled row 1 : 4101 | 1000 | 1 dec 1953 | 6 jun 1973 | 463,514 row 2 : 4102 | 1002 | 30 oct 1953 | 30 jun 1975 | 492,650 row 3 : 4103 | 1003 | 18 jan 1954 | 2 apr 1974 | 462,871 row 4 : 4104 | 1004 | 13 jan 1954 | 12 oct 1973 | 440,810 row 5 : 4105 | 1005 | 8 feb 1954 | ? | ? row 6 : 4106 | 1006 | 21 jan 1954 | 4 aug 1972 | 406,288 row 7 : 4107 | 1007 | 25 jan 1954 | 11 aug 1973 | 446,167 row 8 : 4108 | 1008 | 22 feb 1954 | 20 dec 1967 | 402,026 row 9 : 4109 | 1009 | 11 mar 1954 | 9 feb 1972 | 426,074 row 10 : 4110 | 1010 | 10 feb 1955 | 20 may 1974 | 476,489
table_csv/203_27.csv
2
{ "column_index": [ 2 ], "row_index": [ 7 ] }
[ "on which dates were locomotives entered into service?", "how far did they travel?", "and on which date did the locomotive which traveled 402,026 enter service?" ]
2
22 feb 1954
[ "Number", "Serial No", "Entered Service", "Withdrawn", "Kilometres Travelled" ]
and on which date did the locomotive which traveled 402,026 enter service?
[ [ "4101", "1000", "1 Dec 1953", "6 Jun 1973", "463,514" ], [ "4102", "1002", "30 Oct 1953", "30 Jun 1975", "492,650" ], [ "4103", "1003", "18 Jan 1954", "2 Apr 1974", "462,871" ], [ "4104", "1004", "13 Jan 1954", "12 Oct 1973", "440,810" ], [ "4105", "1005", "8 Feb 1954", "?", "?" ], [ "4106", "1006", "21 Jan 1954", "4 Aug 1972", "406,288" ], [ "4107", "1007", "25 Jan 1954", "11 Aug 1973", "446,167" ], [ "4108", "1008", "22 Feb 1954", "20 Dec 1967", "402,026" ], [ "4109", "1009", "11 Mar 1954", "9 Feb 1972", "426,074" ], [ "4110", "1010", "10 Feb 1955", "20 May 1974", "476,489" ] ]
[ "22 Feb 1954" ]
and on which date did the locomotive which traveled 402,026 enter service? || how far did they travel? | on which dates were locomotives entered into service?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
0
{ "column_index": [ 1, 2, 1, 2, 1, 2 ], "row_index": [ 0, 0, 2, 2, 3, 3 ] }
[ "who are the swimmers?" ]
0
janelle atkinson, jamaica, kaitlin sandeno, united states, julia stowers, united states
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
who are the swimmers?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Janelle Atkinson", "Jamaica", "Kaitlin Sandeno", "United States", "Julia Stowers", "United States" ]
who are the swimmers? ||
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
1
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who are the swimmers?", "who is from jamaica?" ]
0
janelle atkinson
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
who is from jamaica?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Janelle Atkinson" ]
who is from jamaica? || who are the swimmers?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
0
{ "column_index": [ 0 ], "row_index": [ 1 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?" ]
1
2
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "2" ]
how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999? ||
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
1
{ "column_index": [ 1, 1 ], "row_index": [ 2, 3 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?" ]
1
kaitlin sandeno, julia stowers
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
what are their names?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Kaitlin Sandeno", "Julia Stowers" ]
what are their names? || how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
2
{ "column_index": [ 3 ], "row_index": [ 2 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?" ]
1
4:18.97
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
how much time kaitlin sandeno spent during that event?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "4:18.97" ]
how much time kaitlin sandeno spent during that event? || what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
3
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?", "what was her rank?" ]
1
3
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
what was her rank?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "3" ]
what was her rank? || how much time kaitlin sandeno spent during that event? | what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
4
{ "column_index": [ 0, 3 ], "row_index": [ 3, 3 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?", "what was her rank?", "what were julia stower's rank and her recorded time in that event?" ]
1
4, 4:19.84
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
what were julia stower's rank and her recorded time in that event?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "4", "4:19.84" ]
what were julia stower's rank and her recorded time in that event? || what was her rank? | how much time kaitlin sandeno spent during that event? | what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
5
{ "column_index": [ 3 ], "row_index": [ 0 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?", "what was her rank?", "what were julia stower's rank and her recorded time in that event?", "what is the time of the top rank swimmer?" ]
1
4:16.89
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
what is the time of the top rank swimmer?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "4:16.89" ]
what is the time of the top rank swimmer? || what were julia stower's rank and her recorded time in that event? | what was her rank? | how much time kaitlin sandeno spent during that event? | what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
6
{ "column_index": [ 2 ], "row_index": [ 0 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?", "what was her rank?", "what were julia stower's rank and her recorded time in that event?", "what is the time of the top rank swimmer?", "where is she from?" ]
1
jamaica
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
where is she from?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Jamaica" ]
where is she from? || what is the time of the top rank swimmer? | what were julia stower's rank and her recorded time in that event? | what was her rank? | how much time kaitlin sandeno spent during that event? | what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
7
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?", "what are their names?", "how much time kaitlin sandeno spent during that event?", "what was her rank?", "what were julia stower's rank and her recorded time in that event?", "what is the time of the top rank swimmer?", "where is she from?", "jamaica created an elite swimmer, what is her name?" ]
1
janelle atkinson
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
jamaica created an elite swimmer, what is her name?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Janelle Atkinson" ]
jamaica created an elite swimmer, what is her name? || where is she from? | what is the time of the top rank swimmer? | what were julia stower's rank and her recorded time in that event? | what was her rank? | how much time kaitlin sandeno spent during that event? | what are their names? | how many athletes from the us ranked in the women's 400 meter freestyle during the pan american games in 1999?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
0
{ "column_index": [ 1, 1, 1 ], "row_index": [ 0, 2, 3 ] }
[ "who competed in the 400 meter freestyle?" ]
2
janelle atkinson, kaitlin sandeno, julia stowers
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
who competed in the 400 meter freestyle?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Janelle Atkinson", "Kaitlin Sandeno", "Julia Stowers" ]
who competed in the 400 meter freestyle? ||
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
1
{ "column_index": [ 2, 2, 2 ], "row_index": [ 0, 2, 3 ] }
[ "who competed in the 400 meter freestyle?", "where were they from?" ]
2
jamaica, united states, united states
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
where were they from?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Jamaica", "United States", "United States" ]
where were they from? || who competed in the 400 meter freestyle?
nt-4107
col : rank | name | nationality | time | notes row 1 : 1 | janelle atkinson | jamaica | 4:16.89 | q row 2 : 2 | - | - | - | q row 3 : 3 | kaitlin sandeno | united states | 4:18.97 | q row 4 : 4 | julia stowers | united states | 4:19.84 | q row 5 : 5 | - | - | - | q row 6 : 6 | - | - | - | q row 7 : 7 | - | - | - | q row 8 : 8 | - | - | - | q
table_csv/204_902.csv
2
{ "column_index": [ 1 ], "row_index": [ 0 ] }
[ "who competed in the 400 meter freestyle?", "where were they from?", "and which player is from jamaica?" ]
2
janelle atkinson
[ "Rank", "Name", "Nationality", "Time", "Notes" ]
and which player is from jamaica?
[ [ "1", "Janelle Atkinson", "Jamaica", "4:16.89", "Q" ], [ "2", "-", "-", "-", "Q" ], [ "3", "Kaitlin Sandeno", "United States", "4:18.97", "Q" ], [ "4", "Julia Stowers", "United States", "4:19.84", "Q" ], [ "5", "-", "-", "-", "Q" ], [ "6", "-", "-", "-", "Q" ], [ "7", "-", "-", "-", "Q" ], [ "8", "-", "-", "-", "Q" ] ]
[ "Janelle Atkinson" ]
and which player is from jamaica? || where were they from? | who competed in the 400 meter freestyle?
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which parties are there" ]
0
conservatives, labour, socialist alternative, liberal democrats, british national party, green, independent, respect
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which parties are there
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Conservatives", "Labour", "Socialist Alternative", "Liberal Democrats", "British National Party", "Green", "Independent", "Respect" ]
which parties are there ||
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
1
{ "column_index": [ 5, 5, 5, 5, 5, 5, 5, 5 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "which parties are there", "which number of new councils do each have?" ]
0
28, 23, 2, 1, 0, 0, 0, 0
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which number of new councils do each have?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "28", "23", "2", "1", "0", "0", "0", "0" ]
which number of new councils do each have? || which parties are there
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "which parties are there", "which number of new councils do each have?", "which one has 2 new councils?" ]
0
socialist alternative
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which one has 2 new councils?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Socialist Alternative" ]
which one has 2 new councils? || which number of new councils do each have? | which parties are there
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "how many parties were represented in the 2007 coventry council election?" ]
1
conservatives, labour, socialist alternative, liberal democrats, british national party, green, independent, respect
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
how many parties were represented in the 2007 coventry council election?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Conservatives", "Labour", "Socialist Alternative", "Liberal Democrats", "British National Party", "Green", "Independent", "Respect" ]
how many parties were represented in the 2007 coventry council election? ||
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3 ] }
[ "how many parties were represented in the 2007 coventry council election?", "which of these parties had at least 1 newly elected council?" ]
1
conservatives, labour, socialist alternative, liberal democrats
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which of these parties had at least 1 newly elected council?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Conservatives", "Labour", "Socialist Alternative", "Liberal Democrats" ]
which of these parties had at least 1 newly elected council? || how many parties were represented in the 2007 coventry council election?
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "how many parties were represented in the 2007 coventry council election?", "which of these parties had at least 1 newly elected council?", "which party had 2 new council elected?" ]
1
socialist alternative
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which party had 2 new council elected?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Socialist Alternative" ]
which party had 2 new council elected? || which of these parties had at least 1 newly elected council? | how many parties were represented in the 2007 coventry council election?
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
0
{ "column_index": [ 0, 0, 0, 0, 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3, 4, 5, 6, 7 ] }
[ "what parties are there?" ]
2
conservatives, labour, socialist alternative, liberal democrats, british national party, green, independent, respect
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
what parties are there?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Conservatives", "Labour", "Socialist Alternative", "Liberal Democrats", "British National Party", "Green", "Independent", "Respect" ]
what parties are there? ||
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
1
{ "column_index": [ 0, 0, 0, 0 ], "row_index": [ 0, 1, 2, 3 ] }
[ "what parties are there?", "which of these has had a new council?" ]
2
conservatives, labour, socialist alternative, liberal democrats
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which of these has had a new council?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Conservatives", "Labour", "Socialist Alternative", "Liberal Democrats" ]
which of these has had a new council? || what parties are there?
nt-4100
col : party | previous council | staying councillors | seats up for election | election result | new council row 1 : conservatives | 29 | 19 | 10 | 8 | 28 row 2 : labour | 19 | 13 | 6 | 10 | 23 row 3 : socialist alternative | 3 | 2 | 1 | 0 | 2 row 4 : liberal democrats | 2 | 1 | 1 | 0 | 1 row 5 : british national party | 0 | 0 | 0 | 0 | 0 row 6 : green | 0 | 0 | 0 | 0 | 0 row 7 : independent | 0 | 0 | 0 | 0 | 0 row 8 : respect | 0 | 0 | 0 | 0 | 0 row 9 : total | 54 | 36 | 18 | 18 | 54
table_csv/204_223.csv
2
{ "column_index": [ 0 ], "row_index": [ 2 ] }
[ "what parties are there?", "which of these has had a new council?", "which of these had 2 new councils?" ]
2
socialist alternative
[ "Party", "Previous council", "Staying councillors", "Seats up for election", "Election result", "New council" ]
which of these had 2 new councils?
[ [ "Conservatives", "29", "19", "10", "8", "28" ], [ "Labour", "19", "13", "6", "10", "23" ], [ "Socialist Alternative", "3", "2", "1", "0", "2" ], [ "Liberal Democrats", "2", "1", "1", "0", "1" ], [ "British National Party", "0", "0", "0", "0", "0" ], [ "Green", "0", "0", "0", "0", "0" ], [ "Independent", "0", "0", "0", "0", "0" ], [ "Respect", "0", "0", "0", "0", "0" ], [ "Total", "54", "36", "18", "18", "54" ] ]
[ "Socialist Alternative" ]
which of these had 2 new councils? || which of these has had a new council? | what parties are there?